Bachelor in Data Science

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Bachelor in Data Science

Apply now

Description

Programme:
Undergraduate
Delivery method:
Face-to-face
Language:
Spanish
Credits:
240 ECTS

The Bachelor in Data Science trains scientists capable of mining and handling massive amounts of information during every stage of the process. Students acquire the necessary knowledge and skills to design data searches, selecting specific data sources and variables of interest according to each problem or project. They also learn to process data using denoising, outlier detection and normalisation methods, and to propose hypotheses, provide answers and solve any prediction, planning and prevention issues that may arise during projects.

The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.

A gateway
to a new future

Curriculum

CUNEF Universidad’s Bachelor in Data Science consists of 240 ECTS, distributed as follows:

  • 60 basic ECTS
  • 162 compulsory ECTS
  • 12 ECTS for elective courses or internships
  • 6 ECTS for the Final Degree Project (FDP)

Fall Term

COURSEECTSTYPE
Linear Algebra6Basic
Descriptive Statistics6Basic
Programming for Data Science I: R6Basic
Mathematical Logic6Basic
Search, Processing and Use of Information6Compulsory
TOTAL CREDITS FALL TERM 30

Spring Term

COURSEECTSTYPE
Calculus I6Basic
Probability Calculus6Basic
Programming for Data Science II: Python6Basic
Algorithm Analysis and Design6Basic
Critical Thinking and Argumentation3Compulsory
Verbal and Written Communication Skills3Compulsory
TOTAL CREDITS SPRING TERM 30

Fall Term

COURSEECTSTYPE
Calculus II6Basic
Discrete Mathematics6Compulsory
Inferential Statistics6Compulsory
Databases I (SQL Relational Model)6Basic
Cloud Storage6Compulsory
TOTAL CREDITS FALL TERM 30

Spring Term

COURSEECTSTYPE
Web Application Programming6Compulsory
Time series6Compulsory
Machine Learning: Prediction6Compulsory
Databases II (NoSQL Model)6Compulsory
Cloud Computing6Compulsory
TOTAL CREDITS SPRING TERM 30

Fall Term

COURSEECTSTYPE
Collaboration Tools6Compulsory
Operational Research6Compulsory
Geometry and Spatial Data6Compulsory
Machine Learning: Classification6Compulsory
Evolution of Natural and Artificial Intelligence6Compulsory
TOTAL CREDITS FALL TERM 30

Spring Term

COURSEECTSTYPE
Visualisation Techniques6Compulsory
Agile Project Management6Compulsory
Optimisation6Compulsory
Corporate Data Ecosystems6Compulsory
Deep Learning6Compulsory
TOTAL CREDITS SPRING TERM 30

Fall Term

COURSEECTSTYPE
Data Protection and Privacy6Compulsory
Processing Economic and Financial Data6Compulsory
Data-Driven Logistics6Compulsory
Natural Language Processing for Marketing6Compulsory
Data-Driven Financial Risk Assessment6Compulsory
TOTAL CREDITS FALL TERM 30

Spring Term

COURSEECTSTYPE
Business Intelligence6Compulsory
Decision-Making Tools6Compulsory
Internships or Elective Courses12Elective
Final Degree Project6Compulsory
TOTAL CREDITS SPRING TERM 30

Career Outcomes

Data Science graduates are in high demand and have a wide range of businesses to choose from when they enter the job market. Their skillset has become essential for almost any type of business, especially in areas such as finance, marketing, healthcare and the environment. The research study “Forecast: Enterprise Software Markets Worldwide, 2014-2021”, recently published by the consulting firm Gartner, shows that the global data market is growing dramatically and identifies data science as “the profession of the future”.